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Now showing items 123-142 of 193

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    • Plasma Orexin-A and Ghrelin Levels in Patients with Chronic Obstructive Pulmonary Disease: Interaction with Nutritional Status and Body Composition 

      Akbulut, Gamze; Gezmen-Karadağ, Makbule; Ertaş, Yasemin; Uyar, Banugül Barut; Yassıbaş, Emine; Türközü, Duygu; Çelebi, Feride; Paşaoğlu, Özge Tuğçe; Toka, Onur; Yıldıran, Hilal; Şanlıer, Nevin; Köktürk, Nurdan (2014)
      Orexin-A and ghrelin are two important polypeptides that stimulate food intake, however, there is a lack of sufficient information concerning their plasma levels in patients with chronic obstructive pulmonary disease (COPD). ...
    • Portföy Optimizasyonunda Değiştirilmiş Parçacık Sürü Optimizasyonu Yaklaşımı 

      Yaman, Ilgım (Fen Bilimleri Enstitüsü, 2014)
      One of the most studied problem in optimization world is portfolio selection problem which is based on knapsack problems. Portfolio optimization is a NP-hard problem. Because of that heuristic methods are preferred solving ...
    • Prediction of Earthquake Hazard by Hidden Markov Model (Around Bilecik, Nw Turkey) 

      Can, Ceren Eda; Ergun, Gul; Gokceoglu, Candan (Sciendo, 2014)
      Earthquakes are one of the most important natural hazards to be evaluated carefully in engineering projects, due to the severely damaging effects on human-life and human-made structures. The hazard of an earthquake is ...
    • Prevalence of Theileria Annulata and Babesia Bigemina in Cattle in The Vicinity of Sanliurfa 

      Sevgili, M; Cakmak, A; Gokcen, A; Altas, M.G; Ergun, G. (2010)
    • Rastgeleleştirilmiş Yanıt Modellerinde Oran ve Ortalama Tahmin Edicileri 

      Özgül, Nilgün (Fen Bilimleri Enstitüsü, 2013)
      Randomized Response Models(RRM) are used to reduce nonrespondents rates andbiased responses arising from surveys on sensitive subjects such as gambling,alcoholism, sexual abuse, drug addiction, abortion, tax evasion, illegal ...
    • Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-Linear Time Series Forecasting 

      Egrioglu, Erol; Yolcu, Ufuk; Aladag, Cagdas Hakan; Bas, Eren (Elsevier Science Bv, 2014)
      Artificial neural networks (ANN) have been widely used in recent years to model non-linear time series since ANN approach is a responsive method and does not require some assumptions such as normality or linearity. An ...
    • REGRESSION DISCONTINUITY DESIGN: AN APPLICATION IN ECONOMICS 

      Arslan, Neslihan (Fen Bilimleri Enstitüsü, 2017)
      Regression Discontinuity Design (RDD) is developed as an alternative to ex-post facto experiments. It is an approach causally estimating treatment effects in non-experimental designs. The Regression Discontinuity Methodology ...
    • Regression Estimators in Ranked Set, Median Ranked Set and Neoteric Ranked Set Sampling 

      Koyuncu, N. (2018)
    • Regresyon Süreksizliği Yönteminde Parametrik Olmayan Tahmin 

      Dindaş, Serdar (Fen Bilimleri Enstitüsü, 2018)
      Regression discontinuity is a quasi-experimental impact evaluation method of assessment which is used in cases where control and effect groups can not be generated before the implementation of the program. In this method, ...
    • Risk Analizinde Bulanık Mantığın Kullanılmasına Yönelik Bir Uygulama Çalışması 

      Kaman, Zeynep (Fen Bilimleri Enstitüsü, 2018)
      In order to be able to produce solutions to the problems we face in our daily lives, researchers are trying to transfer the focused processes to analysis systems as realistically as possible. The success of implementation ...
    • Robust Model Selection Criteria For Robust S And Lts Estimators 

      Cetin, Meral (Hacettepe Univ, Fac Sci, 2016)
      Outliers and multi-collinearity often have large influence in the model/variable selection process in linear regression analysis. To investigate this combined problem of multi-collinearity and outliers, we studied and ...
    • Robust X Control Chart For Monitoring The Skewed And Contaminated Process 

      Karagöz, D. (2018)
    • Sağlam Kısmi En Küçük Kareler Regresyonu 

      Polat, Esra (Fen Bilimleri Enstitüsü, 2014)
      Partial Least Squares Regression (PLSR) method is a Latent Variables (LVs) regression method. Therefore, in this method, firstly, a set of unrelated LVs is predicted and then, the relationship of these LVs with dependent ...
    • Sayma Verisi İçin Regresyon Modelleri Ve Bir Uygulama 

      Dinarcan, Gözde Nur (Fen Bilimleri Enstitüsü, 2018)
      Regression analysis is used to measure the relationship between a dependent variable and one or more explanatory variables. When the dependent variables consist of discrete non-negative values, the use of counting data ...
    • Serum Levels of Alpha-Tocopherol, Vitamin C, Beta-Carotene, and Retinol in Malignant Pleural Mesothelioma 

      Emri, Salih; Kılıckap, Saadettin; Kadılar, Cem; Halil, Meltem Gülhan; Akay, Hadi; Besler, Tanju (Asian Pacific Organization Cancer Prevention, 2012)
      The aim of this study was to investigate the possible relationship between antioxidant vitamin levels and malignant pleural mesothelioma (MPM). For this purpose, we measured the serum levels of 4 antioxidant vitamins, ...
    • Six Year Mortality Profile Of A Pediatric Intensive Care Unit: Association Between Out-Of-Hours And Mortality 

      Ayar, Ganime; Yazici, Mutlu Uysal; Sahin, Sanliay; Gunduz, Ramiz C.; Yakut, Halil, I; Akman, Alkim Oden; Kalkan, Gokhan (2019)
      Introduction. Recent improvements in pediatric intensive care units (PICUs) were achieved through trained personnel and better technology, leading to an increase in patient care, survival rates and good prognosis. Nevertheless ...
    • Sneezing And Runny Nose: Should Allergy Testing Be Routinely Performed? 

      Can, Ilknur Haberal; Islam, Ahmet; Tastan, Eren; Celik, Hatice; Felek, Sevim Aslan; Karasoy, Durdu Sertkaya; Samim, Ethem Erdal (Springer, 2013)
      The need for routine determination of rhinitis subtypes by allergy testing and the relevance between symptoms and allergy were evaluated. A retrospective study at a tertiary hospital, ENT clinic. One hundred and twenty-seven ...
    • Solving Large Scale Systems Of Linear Equations With A Stabilized Lanczos-Type Algorithms Running On A Cloud Computing Platform 

      Maharani, M.; Salhi, A.; Mashwani, W. K.; Yeniay, Ozgur; Larasati, N.; Triyani (Hacettepe Univ, Fac Sci, 2018)
      The Lanczos-type algorithms for Systems of Linear Equations (SLEs) are efficient but fragile. A number of ways to resolve this issue have been suggested. But, the problem is still not fully sorted, in our view. Here, we ...
    • Some Imputation Methods For Missing Data In Sample Surveys 

      Singh, G. N.; Maurya, S.; Khetan, M.; Kadilar, Cem (Hacettepe Univ, Fac Sci, 2016)
      The present work suggests some imputation methods to deal with the problems of non-response in sample surveys. The imputation methods presented in this work lead to the precise estimation strategies of population mean. ...
    • Sonradan Tabakalamalı Örnekleme Yönteminde Rastgeleleştirilmiş Cevap Modelleri 

      Tuncel, Tuğçe (Fen Bilimleri Enstitüsü, 2012)
      Inthis thesis, randomized response models' (R.R.) applicability, is shown with post-stratification m
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